Automated segmentation of acute stroke lesions using a data-driven anomaly detection on diffusion weighted MRI

Year of publication

2020

Authors

Sanaz Nazari-Farsani, Mikko Nyman, Tomi Karjalainen, Marco Bucci, c, Janne Isojärvi, Lauri Nummenmaa

Organizations and authors

University of Turku

Nummenmaa Lauri

Nyman Mikko

Bucci

Isojärvi Janne

Karjalainen Tomi

Åbo Akademi University

Bucci Marco

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Data article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal/Series

Journal of neuroscience methods

Volume

333

Article number

108575

Pages

108575

ISSN

0165-0270

Publication forum

61155

Publication forum level

Open access

Open access in the publisher’s service

Self-archived

Other information

Fields of science

Computer and information sciences; Neurosciences; Neurology and psychiatry; Surgery, anesthesiology, intensive care, radiology; Health care science

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object]

Publication country

Netherlands

Internationality of the publisher

International

Language

English

International co-publication

Co-publication with a company

DOI

10.1016/j.jneumeth.2019.108575

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes